Data Analytics: Master Pandas, NumPy, Matplotlib, Tableau at just ₹2499

Trained by working IT professionals from leading companies

30 HOUR Data Analytics SYLLABUS

This Data Analytics course provides hands-on learning in Python's most widely used data libraries­Pandas, NumPy, and Matplotlib along with Tableau for interactive dashboards. You will master data cleaning, transformation, analysis, and visualization for real­world datasets.

Fee: ₹2499 Training Mode: Instructor-led live class Duration: 30 hours Next Batch: Loading...
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Prerequisite: Python Beginner

Syllabus Overview

  • Pandas
  • Introduction
    • Series
    • DataFrames
  • Reading Data
    • CSV files
    • JSON files
  • Analyzing Datasets Efficiently
  • Data Cleaning
    • Handling empty cells
    • Fixing wrong formats
    • Removing duplicates
  • DataFrame Functions
    • Manipulation
    • Aggregation
    • Transformations
  • NumPy
  • Creating Arrays
  • Indexing & Slicing
  • Data Types
  • Copy vs View Concepts
  • Array Shape
    • Checking Shape
    • Reshape
  • Iterating Through Arrays
  • Joining & Splitting Arrays
  • Searching, Sorting, Filtering
  • Statistical Operations
    • Mean
    • Median
    • Mode
    • Standard Deviation
    • Variance
    • Percentiles
  • Matplotlib
  • Pyplot Basics
  • Line Plots
    • Markers
    • Line Styles
    • Labels
    • Titles
  • Adding Grid Lines
  • Subplots (Multiple Charts)
  • Scatter Plots
  • Bar Charts
  • Histograms
  • Pie Charts
  • 3D Plots
  • Tableau
  • Introduction
  • Connecting to Data Sources
  • Data Preparation
  • Building Dashboards
  • Creating Charts
    • Bar
    • Line
    • Scatter
    • Maps
  • Filters
  • Groups
  • Parameters
  • Calculated Fields
  • Aggregations
  • Publishing & Sharing Dashboards
  • Projects & Case Studies
  • Data Cleaning & Transformation Project
  • Exploratory Data Analysis
    • Pandas
    • NumPy
  • Data Visualization
    • Matplotlib
  • Interactive Dashboard Development
    • Tableau
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